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tensorflow/c/c_api_experimental.cc
"GradientDef is not supported in reading Dataset related functions: ", text_proto); return {}; } std::vector<UniqueFuncPtr> ret; for (const FunctionDef& fdef : fdef_lib.function()) { // Make a copy so that we can mutate it. FunctionDef fdef_to_load = fdef; if (mutate_proto_func) { (*mutate_proto_func)(&fdef_to_load); } VLOG(1) << "Adding func to graph: " << fdef_to_load.DebugString();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
int64_t target_id = target_tensor_ids[i]; if (sources_set.find(target_id) != sources_set.end()) { auto tensor = targets[i]; sources_that_are_targets.insert( std::make_pair(target_id, TapeTensor(tensor))); } } TF_RETURN_IF_ERROR(GradientTape::ComputeGradient( vspace, target_tensor_ids, source_tensor_ids, sources_that_are_targets,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
// in order to update them as appropriate. auto new_entry = std::make_shared<Block>(); lru_list_.push_front(key); lra_list_.push_front(key); new_entry->lru_iterator = lru_list_.begin(); new_entry->lra_iterator = lra_list_.begin(); new_entry->timestamp = timer_seconds_(); block_map_.emplace(std::make_pair(key, new_entry)); return new_entry; }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
auto file = std::make_unique<TF_RandomAccessFile>(); std::string translated_name = TranslateName(fname); ops_->new_random_access_file(filesystem_.get(), translated_name.c_str(), file.get(), plugin_status.get()); if (TF_GetCode(plugin_status.get()) == TF_OK) *result = std::make_unique<ModularRandomAccessFile>(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
} else { bytes_transferred = 0; } TF_SetStatus(status, TF_OK, ""); return bytes_transferred; }; for (size_t block_size = 2; block_size <= 4; block_size++) { // Make a cache of N-byte block size (1 block) and verify that reads of // varying offsets and lengths return correct data. tf_gcs_filesystem::RamFileBlockCache cache(block_size, block_size, 0,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
TFE_TensorHandle* h0 = TestVariable(ctx, 1.0, task1_name); TFE_TensorHandle* h1 = TestVariable(ctx, 2.0, task2_name); TFE_TensorHandle* h2 = TestVariable(ctx, 3.0, task0_name); // Add a sync point to make sure that variables have been initialized // before the function execution starts. TFE_ContextAsyncWait(ctx, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
ParallelDevice::ParallelDevice(const std::vector<std::string>& devices, bool is_async, int in_flight_nodes_limit) : underlying_devices_(devices), default_cancellation_manager_(absl::make_unique<CancellationManager>()) { device_threads_.reserve(devices.size()); for (int device_index = 0; device_index < devices.size(); ++device_index) { device_threads_.emplace_back(new DeviceThread(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
TFE_OpSetAttrString(op.get(), "container", "", 0); // Use the special GUID for no buffer sharing // // TODO(allenl): Should we provide a better API for this? AFAIK this is the // only reasonable way to make variables with no aliasing using the eager C // API. std::string no_sharing = "cd2c89b7-88b7-44c8-ad83-06c2a9158347"; TFE_OpSetAttrString(op.get(), "shared_name", no_sharing.c_str(),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jun 15 15:44:44 GMT 2021 - 12.5K bytes - Viewed (0) -
tensorflow/c/c_api_function.cc
} // Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and // does various checks while doing so. `input_nodes` will contain the same // information as input_tensors just in a different structure to make // following processing easier. TODO(iga): Simplify this nested structure. Status ProcessInputs( const TF_Graph* fn_body, const char* fn_name, int ninputs, const TF_Output* inputs, std::vector<OutputTensor>* input_tensors,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/eager/parallel_device/parallel_device.cc
TFE_TensorHandleDevicePointer(tensor, status)); if (TF_GetCode(status) != TF_OK) return nullptr; if (parallel_tensor->num_tensors() == 1) { // Copy-off for single-device tensors is allowed to make debugging dynamic // control flow easier. return TFE_TensorHandleCopySharingTensor(parallel_tensor->tensor(0), status); } else { TF_SetStatus(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0)